{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "tool", "damage amount"]}, {"event_type": "data breach", "trigger": true, "arguments": ["place", "attack pattern", "attacker", "number of data", "compromised data", "victim", "number of victim", "time", "purpose"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "patch number", "vulnerable system version", "time", "issues addressed", "patch", "supported platform", "releaser", "vulnerability"]}, {"event_type": "ransom", "trigger": true, "arguments": ["time", "place", "damage amount", "payment method", "victim", "attacker", "tool", "attack pattern", "price"]}], "input": "One hospital , Hancock Health in Indiana , paid $ 55,000 to get its files back ."}
{"phishing": [], "data breach": [], "patch vulnerability": [], "ransom": [{"trigger": "paid", "arguments": {"time": "NAN", "place": "Indiana", "damage amount": "NAN", "payment method": "NAN", "victim": ["Hancock Health", "hospital"], "attacker": "NAN", "tool": "NAN", "attack pattern": "NAN", "price": "$ 55,000"}}]}